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Two-dimensional discrete Gaussian Markov random field models for image processing. (English) Zbl 0634.68092
Progress in pattern recognition 2, Mach. Intell. Pattern Recognition 1, 79-112 (1985).
Summary: [For the entire collection see Zbl 0633.00027.]
This paper is concerned with a systematic exposition of the usefulness of two-dimensional (2-D) discrete Gaussian Markov random field (GMRF) models for image processing applications. Specifically, we discuss the following topics: Notion of Markovianity on a plane, statistical inference in GMRF models, and their applications in several image related problems such as image synthesis and compression, image classification and image restoration.

MSC:
68T10 Pattern recognition, speech recognition
62P99 Applications of statistics